Software Engineer Graduate (AI Infra Compute) - 2027 Start

ByteDance

San Jose (CA)

On-site

USD 180,000 - 240,000

Full time

14 days+
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Benefits offered by this job

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Savings Plan With Company Match
Paid Parental Leave
Short-term Disability Coverage
Long-term Disability Coverage
Life Insurance
Wellbeing Benefits
Paid Holidays
Paid Sick Days
Paid Personal Time

Job summary

ByteDance is seeking to develop and optimize core AI infrastructure technologies, covering training, inference, and AI agents. The role involves cutting-edge research collaboration with academia and open-source communities to advance the state of the art.

The position expects a strong foundation in computer science and hands-on experience with LLM tooling, contributing to impactful publications and open-source projects.

Qualifications

  • Requires a Master's degree in Computer Science or a related field with experience in LLM training, inference, or AI agent infrastructure.
  • Preferred candidates have contributions to open-source projects like vLLM or publications in conferences such as OSDI or MLSys.

Responsibilities

  • Develop and optimize key technologies for the AI infrastructure stack, including training, inference, and AI agents.
  • Collaborate with academia and open-source communities to conduct research and publish academic papers.

Skills

LLM Training Infra
LLM Inference Infra
AI Agent Infra
GPU Kernel Optimization
Knowledge Distillation
RL Training
vLLM
SGLang
Cloud Infrastructure
Parallelism
AI Agents
Computer Science

Education

Master's degree in Computer Science or related field

Job description

Develop and optimize key technologies for the AI infrastructure stack, including training, inference, and AI agents. Collaborate with academia and open-source communities to conduct research and publish academic papers.

Requirements

Requires a Master's degree in Computer Science or a related field with experience in LLM training, inference, or AI agent infrastructure. Preferred candidates have contributions to open-source projects like vLLM or publications in conferences such as OSDI or MLSys.

Key Skills
  • LLM Training Infra
  • LLM Inference Infra
  • AI Agent Infra
  • GPU Kernel Optimization
  • Knowledge Distillation
  • RL Training
  • vLLM
  • SGLang
  • Computer Science
  • Cloud Infrastructure
  • Parallelism
  • AI Agents
Benefits
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • 401(k) Savings Plan With Company Match
  • Paid Parental Leave
  • Short-term Disability CoverageLong-term Disability Coverage
  • Life Insurance
  • Wellbeing Benefits
  • Paid Holidays
  • Paid Sick Days
  • Paid Personal Time
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